Characterization of internal solitary waves in the Andaman Sea and Arabian Sea using EOS-04 and sentinel observations

被引:6
|
作者
Mandal, Anup Kumar [1 ,3 ]
Seemanth, M. [1 ]
Ratheesh, Ramakrishnan [2 ]
机构
[1] Space Applicat Ctr ISRO, Ocean Sci Div, Ahmadabad, India
[2] Space Applicat Ctr, Geosci Div, Ahmadabad, India
[3] Space Applicat Ctr ISRO, Ocean Sci Div, Ahmadabad 380015, India
关键词
Internal solitary waves; phase speed; synthetic aperture radar; EOS-04; SUN GLINT; MODEL; PROPAGATION; GENERATION; PARAMETERS; EQUATION; TIDES; SOUTH;
D O I
10.1080/01431161.2024.2307322
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this study, we synergistically used Synthetic Aperture Radar (SAR) and optical observations to characterize the Internal Solitary Waves (ISW) in the Andaman Sea and Arabian Sea region. Total 25 scenes combined from EOS-04, Sentinel-1&2 satellites are considered for the year 2022. Various approaches, including Fast Fourier Transform (FFT), Multiple Image Comparison (MIC), Tidal Time Period (TTP) and Korteweg-de Vries (KdV) equations, were employed to characterize the ISW, and its spatial and seasonal variations are also analysed. The dominant wavelength of ISW over the Andaman Sea in June 2022 is found to be 6500 m travelling towards the Andaman coast. The overall phase speed of ISW in the Andaman Sea lies in the range of 1.87-2.60 ms(-1). It shows a seasonal variation of around 16% between winter and summer months, where a significant variation in the seasonal mixed layer depth was noticed. The phase speed also decreased as the ISW travelled from deep water to shallower regions. In contrast, the dominant wavelength of ISW in the continental shelf region of the west coast of India (near Goa) was much smaller (similar to 400 m) compared to the Andaman Sea. Here, the ISW phase speed estimated using MIC and TTP methods was similar to 0.56 ms(-1) in February 2022. The KdV equation yielded lower estimates of phase speed compared to the other two methods. The use of multiple satellite images and various approaches possess an advantage in comprehending the spatial and temporal variations in the characteristic features of ISW.
引用
收藏
页码:1201 / 1219
页数:19
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